Patrik Waldmann
Associate Professor
Uppsala, Sweden
Summary
👤
Senior🎓
Top SchoolPatrik Waldmann is an associate professor and applied statistician with nine years in academia focusing on machine learning, high-dimensional Bayesian methods, and quantitative genetics across European research institutions. He blends deep domain knowledge in life sciences and bioinformatics with hands-on proficiency in R, Python, Julia and modern ML frameworks such as TensorFlow, PyTorch and JAX to translate complex biological data into actionable models. His work spans animal and plant genetics, population genomics and statistical consulting, reflecting a rare combination of theoretical rigor and practical impact. Based in Uppsala, he has led research programs at the University of Oulu and the Swedish University of Agricultural Sciences and routinely bridges methodological development with real-world breeding and genomics applications. An experienced educator and mentor, he brings a long track record of interdisciplinary collaboration that often yields novel Bayesian solutions for high-dimensional biological problems.
9 years of coding experience
15 years of employment as a software developer
Docent (Associate Professor) Genetics, Docent (Associate Professor) Genetics at Swedish University of Agricultural Sciences (SLU)Doctor of Philosophy (Ph.D.) Biology, Doctor of Philosophy (Ph.D.) Biology at Lund University
English, Swedish, German
Github Skills (64)
probability10
statistics10
distributions10
julia10
data-science9
portable9
mxnet9
mutation9
bayesian-inference8
bayesian8
probabilistic-models8
scala8
dep8
probabilistic-graphical-models8
bayesian-statistics8
Programming languages (4)
Github contributions (5)
patwa67/CNNGWP
Oct 2019 - Jun 2020
Contributions:8 commits, 7 pushes, 1 branch in 8 months
patwa67/DYpREG
Sep 2022 - Dec 2024
Contributions:6 pushes, 1 branch in 2 years 3 months
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